Senior Principal Consultant - Data Science

As a Senior Principal Consultant, Data Scientist, you will be responsible for leveraging your expertise in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms to develop transformative AI/ML solutions for clients. Your key responsibilities will include: - Developing AI/ML solutions to address clients' business requirements - Successfully delivering projects involving data Pre-processing, Model Training, and Evaluation - Managing Stakeholder/Customer Expectations - Project Blue Printing and Documentation - Conceptualizing, designing, and building solution algorithms within tight timelines - Interacting with clients to collect requirements and create effective analytics/text mining roadmap - Collaborating with service line teams to design, implement, and manage Gen-AI solutions - Conducting applied research on text analytics and machine learning projects, filing patents, and publishing papers - Designing, developing, and implementing solutions tailored to meet client needs Qualifications we seek in you: - MS in Computer Science, Information systems, or Computer engineering - Relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms - Familiarity with Generative AI technologies and ML/LLM Ops knowledge - Experience with cloud computing platforms - Certification in AI/ML or GenAI (optional) Technology skills required: - Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene - Cloud-based NLU tools such as DialogFlow, MS LUIS - Statistical Toolkits such as Weka, S-Plus, Matlab, SAS-Text Miner - Proficiency in Python programming; Java programming skills are a plus - GenAI Tools Methodology expertise: - Solutioning & Consulting experience in verticals such as BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Exposure to Natural Language Processing & Statistics concepts - Ability to Conduct look-ahead client research to enhance clients' analytics agenda Please note: The company details were not provided in the job description. As a Senior Principal Consultant, Data Scientist, you will be responsible for leveraging your expertise in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms to develop transformative AI/ML solutions for clients. Your key responsibilities will include: - Developing AI/ML solutions to address clients' business requirements - Successfully delivering projects involving data Pre-processing, Model Training, and Evaluation - Managing Stakeholder/Customer Expectations - Project Blue Printing and Documentation - Conceptualizing, designing, and building solution algorithms within tight timelines - Interacting with clients to collect requirements and create effective analytics/text mining roadmap - Collaborating with service line teams to design, implement, and manage Gen-AI solutions - Conducting applied research on text analytics and machine learning projects, filing patents, and publishing papers - Designing, developing, and implementing solutions tailored to meet client needs Qualifications we seek in you: - MS in Computer Science, Information systems, or Computer engineering - Relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms - Familiarity with Generative AI technologies and ML/LLM Ops knowledge - Experience with cloud computing platforms - Certification in AI/ML or GenAI (optional) Technology skills required: - Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene - Cloud-based NLU tools such as DialogFlow, MS LUIS - Statistical Toolkits such as Weka, S-Plus, Matlab, SAS-Text Miner - Proficiency in Python programming; Java programming skills are a plus - GenAI Tools Methodology expertise: - Solutioning & Consulting experience in verticals such as BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Exposure to Natural Language Processing & Statistics concepts - Ability to Conduct look-ahead client research to enhance clients' analytics agenda Please note: The company details were not provided in the job description.